Sentence examples for malicious distortion from inspiring English sources

'malicious distortion' is a correct and usable phrase in written English.
It is typically used to describe an intentional and manipulative distortion of facts or circumstances in order to gain an advantage or to harm another. For example: "The news reports were filled with malicious distortions of the facts, aimed at misrepresenting their opponents."

Exact(2)

"I think this is a malicious distortion, either to continue to destroy this man or to sell newspapers.

Guys, he never said that: it's a malicious distortion of a true statement, and no self-respecting journalist would repeat it.

Similar(58)

The rejection of the theses and hypotheses of the truthers should mean an effort to prevent parades of malicious rumor and distortions of facts from becoming part of legitimate discourse.

During the course of transmission, the original music signal might experience various acceptable signal distortions or malicious cropping, adding, replacing, etc.

Another bottleneck is how to resist time-domain synchronization distortions, like malicious cropping/adding, and content-preserving jittering and time-scale modifications.

Based on our experimental results, it is noted that the FJLT-based hashing is robust to a large class of routine distortions and malicious manipulations.

But what really makes me see RED (pun intended) are the people, especially our elected officials, who are attempting to turn back the clock on the rights of gay men and lesbians through a malicious campaign of lies and distortions.

Malicious manipulations typically result in larger average distortion (AD), while acceptable operations result in a smaller one.

Second, FJLT's low distortion guarantees its robustness to most routine degradations and malicious attacks.

It is usually hard to distinguish distortions caused by incidental operations from that caused by malicious manipulations, namely, there is no sharp boundary between authentic and inauthentic signals.

Ideally, to be robust to all routine degradations and malicious attacks, no matter what content-preserving manipulation is done, the image with any distortion should still be correctly classified into the corresponding original image.

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